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考虑到植入前样本的尿液稀释:对肌酐调整和样本混合的影响。

Accounting for urinary dilution in peri-implantation samples: implications for creatinine adjustment and specimen pooling.

机构信息

Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.

Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.

出版信息

J Expo Sci Environ Epidemiol. 2021 Mar;31(2):356-365. doi: 10.1038/s41370-020-0227-1. Epub 2020 May 18.

Abstract

This study examines critical issues in accounting for urinary dilution in peri-implantation samples used to assess environmental exposures. Early pregnancy could impact creatinine excretion, which could bias biomarker measurement and interpretation when creatinine adjustment is used. We compared creatinine levels pre-implantation with levels soon after implantation at 3-6 weeks gestation. Using data and urine specimens from 145 women who conceived, we used linear mixed models to estimate the effect of pregnancy on creatinine concentrations. We also studied whether creatinine adjustment is biased when using pooled, within-person samples rather than averaging individually-adjusted results. For this, we grouped 2655 daily urinary estrogen metabolite and associated creatinine measures into 762 mathematically-constructed sample pools, and compared averaged individual measures with pooled measures using weighted kappa coefficients and t-tests. Urinary creatinine concentration declined an average of 14% (95% CI: -19, -11%) from pre- to post-implantation. While there was strong correlation between results based on the two creatinine adjustment methods, adjustment based on pooled specimens introduced a small 3% (95% CI: 2, 4%) underestimation of the analyte compared with averaging individually-adjusted samples. Postimplantation creatinine declines could introduce errors in biomonitoring results when comparing exposure measures from pre- and post-implantation. Though pooled creatinine adjustment underestimated adjusted analyte concentrations, the bias was small and agreement excellent between pooled and averaged individually-adjusted assessments.

摘要

本研究探讨了在评估环境暴露时用于评估植入前样本中尿稀释的关键问题。早期妊娠可能会影响肌酐的排泄,这可能会在使用肌酐调整时影响生物标志物的测量和解释。我们比较了植入前和植入后 3-6 周时的肌酐水平。使用 145 名怀孕女性的数据和尿液样本,我们使用线性混合模型来估计妊娠对肌酐浓度的影响。我们还研究了当使用pooled,within-person 样本而不是平均个体调整结果时,肌酐调整是否存在偏差。为此,我们将 2655 个每日尿液雌激素代谢物和相关肌酐测量值分成 762 个数学构建的样本池,并使用加权 kappa 系数和 t 检验比较平均个体测量值和pooled 测量值。从植入前到植入后,尿肌酐浓度平均下降 14%(95%CI:-19,-11%)。虽然两种肌酐调整方法的结果具有很强的相关性,但与平均个体调整样本相比,基于 pooled 标本的调整会导致分析物低估 3%(95%CI:2,4%)。在比较植入前和植入后的暴露测量值时,植入后肌酐下降可能会导致生物监测结果出现误差。尽管 pooled 肌酐调整低估了调整后的分析物浓度,但偏差很小,pooled 和平均个体调整评估之间的一致性很好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/7671945/7a9b3f0b6ae7/nihms-1588516-f0001.jpg

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